data_to_mulitnomial: Reformats dataframe to multinomial regression form

In group-wine/sommelieR: Fitting Linear, Multinomial, and Partial Proportional Odds Models to Predict Wine Quality

Description

Given a dataframe and a formula object, will return the necessary dependent variable matrix and the model matrix needed to run the optimization for multinomial regression for a given reference level.

Usage

data_to_mulitnomial(data, formula, ref_level = "8", intercept = T)

Arguments

data	a dataframe
formula	a formula object describing the regression to be run
ref_level	a string which specifies the reference level of the factor dependent variable
intercept	logical, whether to include an intercept or not in the regression (default is TRUE)

Value

a list containing:

• An (n x (k-1)) response matrix of 0's and 1's

• An (n x p) model matrix where n is the number of observations, p is the number of coefficients in the regression formula, and k is the number of possible levels of the dependent variable y.

group-wine/sommelieR documentation built on May 21, 2019, 1:43 p.m.